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author:

Wu, Jian-Yu (Wu, Jian-Yu.) [1] | Lan, Sheng (Lan, Sheng.) [2] | Xiao, Si-Jie (Xiao, Si-Jie.) [3] | Yuan, Yong-Bin (Yuan, Yong-Bin.) [4]

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EI

Abstract:

To solve the problem of the location of the fault point of single-pole-to-ground faults in the transmission lines of MMC-HVDC systems, this paper designs a fault location system based on support vector machine (SVM). The waveform of the traveling wave after the fault occurs is collected as a feature, and the regression mechanism of the SVM is utilized to achieve fault location. Because it is very difficult to locate high-resistance ground faults, this paper first analyzes the waveform characteristics of high-resistance ground faults. Next, three steps are proposed to reduce the influence of grounding resistance on fault location. These steps include using the active pulse waveform as a new feature, classifying the samples according to ground resistance values before training regression models, and a method for adaptively extracting fault distance features is proposed. Finally, a complete location system design is proposed, and its workflow is illustrated. After the simulation test, the proposed location system only needs to obtain a single-ended fault voltage waveform at a fault recording frequency of 20 kHz to achieve an accurate location of single-pole-to-ground faults for different values of grounding resistance. © 2013 IEEE.

Keyword:

Electric fault location Electric grounding Electric lines HVDC power transmission Location Poles Regression analysis Support vector machines Transmissions

Community:

  • [ 1 ] [Wu, Jian-Yu]Fuzhou Minjiang Park Office, Fuzhou; 350002, China
  • [ 2 ] [Lan, Sheng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Xiao, Si-Jie]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Yuan, Yong-Bin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

IEEE Access

Year: 2021

Volume: 9

Page: 42226-42235

3 . 4 7 6

JCR@2021

3 . 4 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 26

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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